Driving prediction techniques (DPTs) are used to forecast the distributions of various future
driving conditions (FDC), like velocity, acceleration, driver behaviors etc. and the quality of …

This paper proposes a real-time predictive energy management strategy (PEMS) of plug-in
hybrid electric vehicles for coordination control of fuel economy and battery lifetime …

Concerns over growing greenhouse gas (GHG) emissions and fuel prices have prompted
researchers to look into alternative energy sources, notably in the transportation sector …

A supervisory control strategy, including dynamic control supervisor, handling-stability
controller, energy efficiency controller, and coordinated torque allocator, is proposed for …

This article proposes a predictive energy management strategy of plug-in hybrid electric
vehicles by real-time optimization and data-driven calibration. The powertrain modelling and …

State of health is one of the most critical parameters to characterize inner status of lithium-
ion batteries in electric vehicles. In this study, a uniform estimation framework is proposed to …

Online optimal energy management of plug-in hybrid electric vehicles has been continually
investigated for better fuel economy. This paper proposed a predictive energy management …

This paper proposes a bi-level energy management strategy of plug-in hybrid electric
vehicles with intelligent state-of-charge (SOC) reference for satisfactory fuel economy and …

The plug-in hybrid electric vehicles (PHEV) can alter powertrain operating mode in different
driving conditions, its energy management strategy (EMS) is priority issue to be considered …

In this paper, an energy management strategy (EMS) based on model predictive control
(MPC) is proposed to minimize fuel cost, electricity usage and battery ageing. To fulfil the …